Principal Associate, Data Scientist - Anti-Money Laundering
Capital One Financial
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How this pay compares to similar roles
This role pays less than 70% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $132k versus about $171k for comparable roles.
Based on 240 similar postings.
Employer
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has 498 open roles on FindRole.
Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.
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At a glance
As a Senior Associate Data Scientist on the Anti-Money Laundering Modeling and Advanced Data Insights team at Capital One, you will partner with data scientists, software engineers, risk managers, and product owners to develop predictive models and monitoring dashboards using AWS, Snowflake, Python, Spark, and other tools. Your day-to-day responsibilities include building machine learning models through all phases of development from design to implementation, ensuring they are production-ready for transaction monitoring and customer risk rating. You will need experience in AML modeling or related fields like fraud detection and credit risk management, along with proficiency in Python and SQL. This role requires innovative thinking, creativity, technical expertise, and a strong statistical background to address complex business problems at scale within the financial services industry.
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